Search results
Results from the WOW.Com Content Network
Telescoping has important real world applications, especially in survey research. Marketing firms often use surveys to ask when consumers last bought a product, and government agencies often use surveys to discover information about drug abuse or about victimology. [6] Telescoping may bias answers to these questions. [6]
In psychology and cognitive science, a memory bias is a cognitive bias that either enhances or impairs the recall of a memory (either the chances that the memory will be recalled at all, or the amount of time it takes for it to be recalled, or both), or that alters the content of a reported memory. There are many types of memory bias, including:
This page was last edited on 31 October 2020, at 23:19 (UTC).; Text is available under the Creative Commons Attribution-ShareAlike 4.0 License; additional terms may apply.
Media bias is the bias or perceived bias of journalists and news producers within the mass media in the selection of events, the stories that are reported, and how they are covered. The term generally implies a pervasive or widespread bias violating the standards of journalism , rather than the perspective of an individual journalist or article ...
She and Carole Peterson observed that when remembering early childhood experiences, both children and adults systematically date the events at later ages than they actually were - a telescoping bias. [7] [8] [9] This finding has critical implications for the theoretical explanation for childhood amnesia. Furthermore, her research reveals ...
Selection bias is the bias introduced by the selection of individuals, groups, or data for analysis in such a way that proper randomization is not achieved, thereby failing to ensure that the sample obtained is representative of the population intended to be analyzed. [1]
Detection bias occurs when a phenomenon is more likely to be observed for a particular set of study subjects. For instance, the syndemic involving obesity and diabetes may mean doctors are more likely to look for diabetes in obese patients than in thinner patients, leading to an inflation in diabetes among obese patients because of skewed detection efforts.
In 1996, Elton, Gruber, and Blake showed that survivorship bias is larger in the small-fund sector than in large mutual funds (presumably because small funds have a high probability of folding). [8] They estimate the size of the bias across the U.S. mutual fund industry as 0.9% per annum, where the bias is defined and measured as: